Cargando…
What Can You See? Identifying Cues on Internal States From the Movements of Natural Social Interactions
In recent years, the field of Human-Robot Interaction (HRI) has seen an increasing demand for technologies that can recognize and adapt to human behaviors and internal states (e.g., emotions and intentions). Psychological research suggests that human movements are important for inferring internal st...
Autores principales: | Bartlett, Madeleine E., Edmunds, Charlotte E. R., Belpaeme, Tony, Thill, Serge, Lemaignan, Séverin |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7805824/ https://www.ncbi.nlm.nih.gov/pubmed/33501065 http://dx.doi.org/10.3389/frobt.2019.00049 |
Ejemplares similares
-
Generating Spatial Referring Expressions in a Social Robot: Dynamic vs. Non-ambiguous
por: Wallbridge, Christopher D., et al.
Publicado: (2019) -
LEADOR: A Method for End-To-End Participatory Design of Autonomous Social Robots
por: Winkle, Katie, et al.
Publicado: (2021) -
I Can See It in Your Eyes: Gaze as an Implicit Cue of Uncanniness and Task Performance in Repeated Interactions With Robots
por: Perugia, Giulia, et al.
Publicado: (2021) -
Editorial: Towards Real World Impacts: Design, Development, and Deployment of Social Robots in the Wild
por: Park, Chung Hyuk, et al.
Publicado: (2020) -
Coffee With a Hint of Data: Towards Using Data-Driven Approaches in Personalised Long-Term Interactions
por: Irfan, Bahar, et al.
Publicado: (2021)